BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 37958229)

  • 1. Diagnosis of Salivary Gland Tumors Using Transfer Learning with Fine-Tuning and Gradual Unfreezing.
    Cheng PC; Chiang HK
    Diagnostics (Basel); 2023 Oct; 13(21):. PubMed ID: 37958229
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classification of rotator cuff tears in ultrasound images using deep learning models.
    Ho TT; Kim GT; Kim T; Choi S; Park EK
    Med Biol Eng Comput; 2022 May; 60(5):1269-1278. PubMed ID: 35043367
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Advantages of deep learning with convolutional neural network in detecting disc displacement of the temporomandibular joint in magnetic resonance imaging.
    Lee YH; Won JH; Kim S; Auh QS; Noh YK
    Sci Rep; 2022 Jul; 12(1):11352. PubMed ID: 35790841
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder.
    Jung Y; Kim T; Han MR; Kim S; Kim G; Lee S; Choi YJ
    Sci Rep; 2022 Oct; 12(1):17024. PubMed ID: 36220853
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Value of Ultrasound-guided Core Needle Biopsy in Differentiating Benign from Malignant Salivary Gland Lesions.
    Kazemi MA; Amini F; Kargar B; Lotfi M; Aghazadeh K; Sharifian H; Moradi B; Azadbakht J
    Indian J Otolaryngol Head Neck Surg; 2023 Jun; 75(2):266-270. PubMed ID: 37275055
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging.
    Hsu ST; Su YJ; Hung CH; Chen MJ; Lu CH; Kuo CE
    BMC Med Inform Decis Mak; 2022 Nov; 22(1):298. PubMed ID: 36397100
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Ultrasound Image Classification of Thyroid Nodules Based on Deep Learning.
    Yang J; Shi X; Wang B; Qiu W; Tian G; Wang X; Wang P; Yang J
    Front Oncol; 2022; 12():905955. PubMed ID: 35912199
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Use of a Convolutional Neural Network to Predict the Malignant Potential of Gastrointestinal Stromal Tumors in Transabdominal Ultrasound Images: Visualization of the Focus of the Prediction Model.
    Zhuo M; Chen X; Tang Y; Guo J; Tang X; Qian Q; Xue E; Chen Z
    Ultrasound Med Biol; 2023 Sep; 49(9):1951-1959. PubMed ID: 37291007
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning based ultrasound analysis facilitates precise distinction between parotid pleomorphic adenoma and Warthin tumor.
    Liu XH; Miao YY; Qian L; Shi ZT; Wang Y; Su JL; Chang C; Chen JY; Chen JG; Li JW
    Front Oncol; 2024; 14():1337631. PubMed ID: 38476360
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Diagnostic Value of Ultrasound-Based Deep Learning in Differentiating Parotid Gland Tumors.
    Wang Y; Xie W; Huang S; Feng M; Ke X; Zhong Z; Tang L
    J Oncol; 2022; 2022():8192999. PubMed ID: 35602298
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A convolutional deep learning model for improving mammographic breast-microcalcification diagnosis.
    Kang D; Gweon HM; Eun NL; Youk JH; Kim JA; Son EJ
    Sci Rep; 2021 Dec; 11(1):23925. PubMed ID: 34907330
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Discriminating between benign and malignant salivary gland tumors using diffusion-weighted imaging and intravoxel incoherent motion at 3 Tesla.
    Zhang R; King AD; Wong LM; Bhatia KS; Qamar S; Mo FKF; Vlantis AC; Ai QYH
    Diagn Interv Imaging; 2023 Feb; 104(2):67-75. PubMed ID: 36096875
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Diagnostic triage in patients with central lumbar spinal stenosis using a deep learning system of radiographs.
    Kim T; Kim YG; Park S; Lee JK; Lee CH; Hyun SJ; Kim CH; Kim KJ; Chung CK
    J Neurosurg Spine; 2022 Jul; 37(1):104-111. PubMed ID: 35061993
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Application of Deep Convolutional Neural Networks for Discriminating Benign, Borderline, and Malignant Serous Ovarian Tumors From Ultrasound Images.
    Wang H; Liu C; Zhao Z; Zhang C; Wang X; Li H; Wu H; Liu X; Li C; Qi L; Ma W
    Front Oncol; 2021; 11():770683. PubMed ID: 34988015
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging.
    Zhang Y; Hong D; McClement D; Oladosu O; Pridham G; Slaney G
    J Neurosci Methods; 2021 Apr; 353():109098. PubMed ID: 33582174
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quantitative and Qualitative Analysis of 18 Deep Convolutional Neural Network (CNN) Models with Transfer Learning to Diagnose COVID-19 on Chest X-Ray (CXR) Images.
    Chow LS; Tang GS; Solihin MI; Gowdh NM; Ramli N; Rahmat K
    SN Comput Sci; 2023; 4(2):141. PubMed ID: 36624807
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep Transfer Learning with Enhanced Feature Fusion for Detection of Abnormalities in X-ray Images.
    Alammar Z; Alzubaidi L; Zhang J; Li Y; Lafta W; Gu Y
    Cancers (Basel); 2023 Aug; 15(15):. PubMed ID: 37568821
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Optimizing the transfer-learning with pretrained deep convolutional neural networks for first stage breast tumor diagnosis using breast ultrasound visual images.
    Saba T; Abunadi I; Sadad T; Khan AR; Bahaj SA
    Microsc Res Tech; 2022 Apr; 85(4):1444-1453. PubMed ID: 34908213
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fine-Tuning Convolutional Neural Networks for COVID-19 Detection from Chest X-ray Images.
    Zhao W; Jiang W; Qiu X
    Diagnostics (Basel); 2021 Oct; 11(10):. PubMed ID: 34679585
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An effective convolutional neural network for classification of benign and malignant breast and thyroid tumors from ultrasound images.
    Tian R; Yu M; Liao L; Zhang C; Zhao J; Sang L; Qian W; Wang Z; Huang L; Ma H
    Phys Eng Sci Med; 2023 Sep; 46(3):995-1013. PubMed ID: 37195403
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.